D. A. Preece
Impact in
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics
-
- Optimal Experimental Design Methods
Papers in
-
- graph theory and CDMA systems 41
-
- Optimal Experimental Design Methods 35
- Co-authors
- F. J. Hills (1 shared paper)John A. Cornell (1 shared paper)G. J. Ross (2 shared papers)R. W. Payne (2 shared papers)T. W. Anderson (1 shared paper)Ian Anderson (10 shared papers)Peter W. M. John (2 shared papers)R. A. Bailey (3 shared papers)
- Journals
- Discrete Mathematics (22 papers)Biometrics (8 papers)Biometrika (5 papers)Technometrics (4 papers)International Statistical Review (3 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
D. A. Preece
83 papers receiving 2.0k citations
D. A. Preece's Hit Papers
Peers
Comparison fields: 5 of 171
- Soil Science 266
- Management Science and Operations Research 336
- Agronomy and Crop Science 250
- Plant Science 831
- Discrete Mathematics and Combinatorics 72
Countries citing papers authored by D. A. Preece
This map shows the geographic impact of D. A. Preece's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. A. Preece with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. A. Preece more than expected).
Fields of papers citing papers by D. A. Preece
This network shows the impact of papers produced by D. A. Preece. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. A. Preece. The network helps show where D. A. Preece may publish in the future.
Co-authors
The 25 scholars most cited alongside D. A. Preece, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Agricultural Experimentation: Design and Analysis Hit paper breakdown → | 1982 | 1263 |
| 2 | 1979 | 87 | |
| 3 | 1967 | 82 | |
| 4 | 1982 | 75 | |
| 5 | 1985 | 55 | |
| 6 | 1980 | 53 | |
| 7 | 1972 | 48 | |
| 8 | 1990 | 34 | |
| 9 | 1966 | 33 | |
| 10 | 1981 | 31 | |
| 11 | 1973 | 28 | |
| 12 | 1983 | 26 | |
| 13 | 1978 | 25 | |
| 14 | 1971 | 23 | |
| 15 | 2003 | 23 | |
| 16 | 2001 | 22 | |
| 17 | 1972 | 21 | |
| 18 | The design and analysis of experiments - what has gone wrong? | 1982 | 20 |
| 19 | 1976 | 20 | |
| 20 | 1982 | 20 |
About D. A. Preece
D. A. Preece is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research, Computational Theory and Mathematics, Artificial Intelligence and Statistics and Probability, having authored 96 papers that have together received 2.4k indexed citations. Recurring topics across this work include graph theory and CDMA systems (41 papers), Optimal Experimental Design Methods (35 papers), Coding theory and cryptography (8 papers), semigroups and automata theory (6 papers), Sensory Analysis and Statistical Methods (5 papers), Mathematics and Applications (5 papers), Statistical Methods in Clinical Trials (4 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). The work is most often cited by research in Soil Science (266 citations), Management Science and Operations Research (336 citations), Agronomy and Crop Science (250 citations), Plant Science (831 citations) and Discrete Mathematics and Combinatorics (72 citations). D. A. Preece has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include F. J. Hills, John A. Cornell, G. J. Ross, R. W. Payne, T. W. Anderson, Ian Anderson, Peter W. M. John, R. A. Bailey, G. H. Freeman and Damaraju Raghavarao. Their work appears in journals such as Discrete Mathematics, Biometrics, Biometrika, Technometrics and International Statistical Review.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.